%0 Conference Paper
%A Amitay, Einat
%A Carmel, David
%A Har'El, Nadav
%A Ofek-Koifman, Shila
%A Soffer, Aya
%A Yogev, Sivan
%A Golbandi, Nadav
%B 18th International World Wide Web Conference
%C Madrid, Spain
%D 2009
%F www2009:186
%P 1211-1211
%T Social Search and Discovery Using a Unified Approach
%U http://www2009.eprints.org/186/
%X We explore new ways of improving a search engine using data from Web 2.0 applications such as blogs and social bookmarks. This data contains entities such as documents, people and tags, and relationships between them. We propose a simple yet effective method, based on faceted search, that treats all entities in a unified manner: returning all of them (documents, people and tags) on every search, and allowing all of them to be used as search terms. We describe an implementation of such a social search engine on the intranet of a large enterprise, and present large-scale experiments which verify the validity of our approach.